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Prediction of the Sound Absorption Performance of Polymer Wool by Using Artificial Neural Networks Model

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Indexed by : Journal paper

Document Code : 20142717903888

First Author : Shuming Chen

Author : 黄雅威,彭登志,宋学伟

Date of Publication : 2014-05-01

Journal : SAE International Journal of Passenger Cars - Mechanical Systems

Included Journals : EI  

Affiliation of Author(s) : Jilin University

Place of Publication : United States

Discipline : 工学

Document Type : J

Volume : 7

Issue : 1

Page Number : 260-269

ISSN : 19463995

Teaching and Research Group : State Key Laboratory of Automotive Simulation and

Abstract : This paper proposes a new method of predicting the sound absorption performance of polymer wool using artificial neural networks (ANN) model. Some important parameters of the proposed model have been adjusted to best fit the non-linear relationship between the input data and output data. What's more, the commonly used multiple non-linear regression model is built to compare with ANN model in this study. Measurements of the sound absorption coefficient of polymer wool based on transfer function method are also performed to determine the sound absorption performance according to GB/T18696. 2-200

First-Level Discipline : 机械工程

Translation or Not : no

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